Sky of Unlearning (SoUL): Rewiring Federated Machine Unlearning via Selective Pruning
Fuente:
arXiv
Guardado en:
| Autores principales: | Zaman, Md Mahabub Uz, Sun, Xiang, Yao, Jingjing |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Scalable Submodular Policy Optimization via Pruned Submodularity Graph
por: Anand, Aditi, et al.
Publicado: (2025)
por: Anand, Aditi, et al.
Publicado: (2025)
Liquid Democracy for Low-Cost Ensemble Pruning
por: Armstrong, Ben, et al.
Publicado: (2024)
por: Armstrong, Ben, et al.
Publicado: (2024)
A Bargaining-based Approach for Feature Trading in Vertical Federated Learning
por: Cui, Yue, et al.
Publicado: (2024)
por: Cui, Yue, et al.
Publicado: (2024)
DeepFusion: Accelerating MoE Training via Federated Knowledge Distillation from Heterogeneous Edge Devices
por: Li, Songyuan, et al.
Publicado: (2026)
por: Li, Songyuan, et al.
Publicado: (2026)
SkyRover: A Modular Simulator for Cross-Domain Pathfinding
por: Ma, Wenhui, et al.
Publicado: (2025)
por: Ma, Wenhui, et al.
Publicado: (2025)
Agentic Neural Networks: Self-Evolving Multi-Agent Systems via Textual Backpropagation
por: Ma, Xiaowen, et al.
Publicado: (2025)
por: Ma, Xiaowen, et al.
Publicado: (2025)
Machine Theory of Mind for Autonomous Cyber-Defence
por: Swaby, Luke, et al.
Publicado: (2024)
por: Swaby, Luke, et al.
Publicado: (2024)
Hybrid Agentic AI and Multi-Agent Systems in Smart Manufacturing
por: Farahani, Mojtaba A., et al.
Publicado: (2025)
por: Farahani, Mojtaba A., et al.
Publicado: (2025)
Selective Reincarnation: Offline-to-Online Multi-Agent Reinforcement Learning
por: Formanek, Claude, et al.
Publicado: (2023)
por: Formanek, Claude, et al.
Publicado: (2023)
Dynamic Sight Range Selection in Multi-Agent Reinforcement Learning
por: Liao, Wei-Chen, et al.
Publicado: (2025)
por: Liao, Wei-Chen, et al.
Publicado: (2025)
Multi-Agent Reinforcement Learning with a Hierarchy of Reward Machines
por: Zheng, Xuejing, et al.
Publicado: (2024)
por: Zheng, Xuejing, et al.
Publicado: (2024)
Near-Optimal Reinforcement Learning with Self-Play under Adaptivity Constraints
por: Qiao, Dan, et al.
Publicado: (2024)
por: Qiao, Dan, et al.
Publicado: (2024)
A Survey of Multi Agent Reinforcement Learning: Federated Learning and Cooperative and Noncooperative Decentralized Regimes
por: Cheruiyot, Kemboi, et al.
Publicado: (2025)
por: Cheruiyot, Kemboi, et al.
Publicado: (2025)
KVComm: Enabling Efficient LLM Communication through Selective KV Sharing
por: Shi, Xiangyu, et al.
Publicado: (2025)
por: Shi, Xiangyu, et al.
Publicado: (2025)
Tacit Learning with Adaptive Information Selection for Cooperative Multi-Agent Reinforcement Learning
por: Liu, Lunjun, et al.
Publicado: (2024)
por: Liu, Lunjun, et al.
Publicado: (2024)
Select to Perfect: Imitating desired behavior from large multi-agent data
por: Franzmeyer, Tim, et al.
Publicado: (2024)
por: Franzmeyer, Tim, et al.
Publicado: (2024)
DynaSwarm: Dynamically Graph Structure Selection for LLM-based Multi-agent System
por: Leong, Hui Yi, et al.
Publicado: (2025)
por: Leong, Hui Yi, et al.
Publicado: (2025)
Scaling Multi-Agent Environment Co-Design with Diffusion Models
por: Li, Hao Xiang, et al.
Publicado: (2025)
por: Li, Hao Xiang, et al.
Publicado: (2025)
FORGE: Self-Evolving Agent Memory With No Weight Updates via Population Broadcast
por: Bogdanov, Igor, et al.
Publicado: (2026)
por: Bogdanov, Igor, et al.
Publicado: (2026)
Disaster Management in the Era of Agentic AI Systems: A Vision for Collective Human-Machine Intelligence for Augmented Resilience
por: Li, Bo, et al.
Publicado: (2025)
por: Li, Bo, et al.
Publicado: (2025)
Towards Fault Tolerance in Multi-Agent Reinforcement Learning
por: Shi, Yuchen, et al.
Publicado: (2024)
por: Shi, Yuchen, et al.
Publicado: (2024)
Frontier Coding Agents Can Now Implement an AlphaZero Self-Play Machine Learning Pipeline For Connect Four That Performs Comparably to an External Solver
por: Sherwood, Joshua, et al.
Publicado: (2026)
por: Sherwood, Joshua, et al.
Publicado: (2026)
Talk Structurally, Act Hierarchically: A Collaborative Framework for LLM Multi-Agent Systems
por: Wang, Zhao, et al.
Publicado: (2025)
por: Wang, Zhao, et al.
Publicado: (2025)
CORD: Generalizable Cooperation via Role Diversity
por: Matsuyama, Kanefumi, et al.
Publicado: (2025)
por: Matsuyama, Kanefumi, et al.
Publicado: (2025)
Shaping Zero-Shot Coordination via State Blocking
por: Kang, Mingu, et al.
Publicado: (2026)
por: Kang, Mingu, et al.
Publicado: (2026)
Multi-Agent Diagnostics for Robustness via Illuminated Diversity
por: Samvelyan, Mikayel, et al.
Publicado: (2024)
por: Samvelyan, Mikayel, et al.
Publicado: (2024)
SPIRAL: Symbolic LLM Planning via Grounded and Reflective Search
por: Zhang, Yifan, et al.
Publicado: (2025)
por: Zhang, Yifan, et al.
Publicado: (2025)
Aligning Compound AI Systems via System-level DPO
por: Wang, Xiangwen, et al.
Publicado: (2025)
por: Wang, Xiangwen, et al.
Publicado: (2025)
Adaptively Coordinating with Novel Partners via Learned Latent Strategies
por: Li, Benjamin, et al.
Publicado: (2025)
por: Li, Benjamin, et al.
Publicado: (2025)
Training Generalizable Collaborative Agents via Strategic Risk Aversion
por: Qu, Chengrui, et al.
Publicado: (2026)
por: Qu, Chengrui, et al.
Publicado: (2026)
Flow: Modularized Agentic Workflow Automation
por: Niu, Boye, et al.
Publicado: (2025)
por: Niu, Boye, et al.
Publicado: (2025)
Multi-Agent Path Finding via Offline RL and LLM Collaboration
por: Atasever, Merve, et al.
Publicado: (2025)
por: Atasever, Merve, et al.
Publicado: (2025)
PIVOT: Bridging Planning and Execution in LLM Agents via Trajectory Refinement
por: Zhang, Tuo, et al.
Publicado: (2026)
por: Zhang, Tuo, et al.
Publicado: (2026)
ANNEAL: Adapting LLM Agents via Governed Symbolic Patch Learning
por: Hakim, Safayat Bin, et al.
Publicado: (2026)
por: Hakim, Safayat Bin, et al.
Publicado: (2026)
Emergence of Fair Leaders via Mediators in Multi-Agent Reinforcement Learning
por: Dodwadmath, Akshay, et al.
Publicado: (2025)
por: Dodwadmath, Akshay, et al.
Publicado: (2025)
SMCEvolve: Principled Scientific Discovery via Sequential Monte Carlo Evolution
por: Jiang, Jiachen, et al.
Publicado: (2026)
por: Jiang, Jiachen, et al.
Publicado: (2026)
Achieving Collective Welfare in Multi-Agent Reinforcement Learning via Suggestion Sharing
por: Jin, Yue, et al.
Publicado: (2024)
por: Jin, Yue, et al.
Publicado: (2024)
Resource Governance in Networked Systems via Integrated Variational Autoencoders and Reinforcement Learning
por: Chen, Qiliang, et al.
Publicado: (2024)
por: Chen, Qiliang, et al.
Publicado: (2024)
Meritocratic Fairness in Budgeted Combinatorial Multi-armed Bandits via Shapley Values
por: Sharma, Shradha, et al.
Publicado: (2026)
por: Sharma, Shradha, et al.
Publicado: (2026)
Hierarchical Federated Graph Attention Networks for Scalable and Resilient UAV Collision Avoidance
por: Shit, Rathin Chandra, et al.
Publicado: (2025)
por: Shit, Rathin Chandra, et al.
Publicado: (2025)
Ejemplares similares
-
Scalable Submodular Policy Optimization via Pruned Submodularity Graph
por: Anand, Aditi, et al.
Publicado: (2025) -
Liquid Democracy for Low-Cost Ensemble Pruning
por: Armstrong, Ben, et al.
Publicado: (2024) -
A Bargaining-based Approach for Feature Trading in Vertical Federated Learning
por: Cui, Yue, et al.
Publicado: (2024) -
DeepFusion: Accelerating MoE Training via Federated Knowledge Distillation from Heterogeneous Edge Devices
por: Li, Songyuan, et al.
Publicado: (2026) -
SkyRover: A Modular Simulator for Cross-Domain Pathfinding
por: Ma, Wenhui, et al.
Publicado: (2025)